PMC:7551987 / 18730-19496 JSONTXT

{"project":"2_test","denotations":[{"id":"32971954-32083643-143921962","span":{"begin":756,"end":758},"obj":"32083643"},{"id":"32971954-32446187-143921963","span":{"begin":759,"end":761},"obj":"32446187"}],"text":"3.1. Model Sensitivity Analysis\nFigure 2 depicts a tornado plot that communicates the sensitivity of the model to permutations in parameters. Across features, the model is most sensitive to parameters that are considered virulence-associated (Table 3) and is relatively less sensitive to survival-associated parameters (Table 4). Similar to other features, R0 (Figure 2D) of the model is most sensitive to the parameters ⍵, βA, and ν. The sensitivity of R0 to changes in ⍵ reflects the importance of the rate of conversion to the symptomatic state on model dynamics. In addition, βA has a very important influence on the model, consistent with other findings for COVID-19 that have emphasized the importance of asymptomatic transmission in disease spread [25,26,27]."}

{"project":"LitCovid-PubTator","denotations":[{"id":"113","span":{"begin":663,"end":671},"obj":"Disease"}],"attributes":[{"id":"A113","pred":"tao:has_database_id","subj":"113","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"3.1. Model Sensitivity Analysis\nFigure 2 depicts a tornado plot that communicates the sensitivity of the model to permutations in parameters. Across features, the model is most sensitive to parameters that are considered virulence-associated (Table 3) and is relatively less sensitive to survival-associated parameters (Table 4). Similar to other features, R0 (Figure 2D) of the model is most sensitive to the parameters ⍵, βA, and ν. The sensitivity of R0 to changes in ⍵ reflects the importance of the rate of conversion to the symptomatic state on model dynamics. In addition, βA has a very important influence on the model, consistent with other findings for COVID-19 that have emphasized the importance of asymptomatic transmission in disease spread [25,26,27]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T123","span":{"begin":0,"end":4},"obj":"Sentence"},{"id":"T124","span":{"begin":5,"end":31},"obj":"Sentence"},{"id":"T125","span":{"begin":32,"end":141},"obj":"Sentence"},{"id":"T126","span":{"begin":142,"end":329},"obj":"Sentence"},{"id":"T127","span":{"begin":330,"end":434},"obj":"Sentence"},{"id":"T128","span":{"begin":435,"end":566},"obj":"Sentence"},{"id":"T129","span":{"begin":567,"end":766},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"3.1. Model Sensitivity Analysis\nFigure 2 depicts a tornado plot that communicates the sensitivity of the model to permutations in parameters. Across features, the model is most sensitive to parameters that are considered virulence-associated (Table 3) and is relatively less sensitive to survival-associated parameters (Table 4). Similar to other features, R0 (Figure 2D) of the model is most sensitive to the parameters ⍵, βA, and ν. The sensitivity of R0 to changes in ⍵ reflects the importance of the rate of conversion to the symptomatic state on model dynamics. In addition, βA has a very important influence on the model, consistent with other findings for COVID-19 that have emphasized the importance of asymptomatic transmission in disease spread [25,26,27]."}